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CIC
2003
150views Communications» more  CIC 2003»
13 years 8 months ago
Performance Modeling of a Cluster of Workstations
Using off-the-shelf commodity workstations to build a cluster for parallel computing has become a common practice. In studying or designing a cluster of workstations one should ha...
Ahmed M. Mohamed, Lester Lipsky, Reda A. Ammar
3DOR
2008
13 years 10 months ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf
CAIP
2005
Springer
133views Image Analysis» more  CAIP 2005»
14 years 1 months ago
Finding the Number of Clusters for Nonparametric Segmentation
Non-parametric data representation can be done by means of a potential function. This paper introduces a methodology for finding modes of the potential function. Two different me...
Nikolaos Nasios, Adrian G. Bors
PAMI
2011
13 years 2 months ago
Rigid and Articulated Point Registration with Expectation Conditional Maximization
—This paper addresses the issue of matching rigid and articulated shapes through probabilistic point registration. The problem is recast into a missing data framework where unkno...
Radu Horaud, Florence Forbes, Manuel Yguel, Guilla...
BMEI
2009
IEEE
13 years 8 months ago
A Kurtosis and Skewness Based Criterion for Model Selection on Gaussian Mixture
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
Lin Wang, Jinwen Ma